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Numerical Optimization of Plasmid DNA Delivery Combined with Hyaluronidase Injection for Electroporation Protocol

Daniele Peri 1 Manon Deville 2 Clair Poignard 2 Emanuela Signori 3 Roberto Natalini 1
1 IAC - Istituto per le Applicazioni del Calcolo "Mauro Picone"
2 MONC - Modélisation Mathématique pour l'Oncologie
IMB - Institut de Mathématiques de Bordeaux, Institut Bergonié [Bordeaux], Inria Bordeaux - Sud-Ouest
3 CNR - Consiglio Nazionale delle Ricerche [Roma]
Abstract : Background and Objective: The paper focuses on the numerical strategies to optimize a plasmid DNA delivery protocol, which combines hyaluronidase and electroporation. Methods: A well-defined continuum mechanics model of muscle porosity and advanced numerical optimization strategies have been used, to propose a substantial improvement of a pre-existing experimental protocol of DNA transfer in mice. Our work suggests that a computational model might help in the definition of innovative therapeutic procedures, thanks to the fine tuning of all the involved experimental steps. This approach is particularly interesting in optimizing complex and costly protocols, to make in vivo DNA therapeutic protocols more effective. Results: Our preliminary work suggests that computational model might help in the definition of innovative therapeutic protocol, thanks to the fine tuning of all the involved operations. Conclusions: This approach is particularly interesting in optimizing complex and costly protocols for which the number of degrees of freedom prevents a experimental test of the possible configuration.
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https://hal.inria.fr/hal-02366660
Contributor : Clair Poignard <>
Submitted on : Monday, November 18, 2019 - 8:52:19 AM
Last modification on : Thursday, June 11, 2020 - 3:21:03 AM

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Daniele Peri, Manon Deville, Clair Poignard, Emanuela Signori, Roberto Natalini. Numerical Optimization of Plasmid DNA Delivery Combined with Hyaluronidase Injection for Electroporation Protocol. Computer Methods and Programs in Biomedicine, Elsevier, 2019, pp.105204. ⟨10.1016/j.cmpb.2019.105204⟩. ⟨hal-02366660⟩

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